Parallel single component ambient noise correlation from SEED
- Extract
SAC
& response fromSEED
- Remove instrument response
- Temporal (1-bit, run-absolute-mean, cut events) & spectral (whiten) normalization
- Cross/Auto-correlate & stack
input/
: template files for inputsrc/
: source codetools/
: auxiliary scripts
Currently tested on
- RHEL (Red Hat Enterprise Linux): 6.9, 7.3
- gcc: 6.1.0, 4.4.7 20120313 (Red Hat 4.4.7-18)
- FFTW: 3.3.7, 3.3.4 (failed!), 3.2.3
- rdseed 5.3.1
- evalresp 3.3.3
$ cd src/
$ make
The output could be compared with src/make.log
.
parameters
: processing parameters- see
input/parameters.lst
for template
- see
seed.lst
: list ofSEED
files- see
input/seed.lst
for template - use
tools/generate_seedlst.sh
to generate
- see
station.lst
: list of stations- see
input/station.lst
for template - use
tools/generate_stationlst.sh
to generate - optional flag
0-N For stations with same number n (except 0), do cc, also do cc with group 0, but do not do cc with other numbers. For number 0, do cc with all other group, but do not do cc with all other group 0 members.
- see
$ Seed2Cor parameter_file [nthreads]
A Python
wrapper tools/s2c_wrapper.py
with a YAML
parameter file
input/param.yml
might be helpful.
yyyy.MMM/
yyyy.MMM.dd/
COR/
: monthly correlationsSTA/
COR_MASTER_SLAVE.SAC
COR_D/
: daily correlationsSTA/
COR_MASTER_SLAVE_dd.SAC
Cor_dayflag.lst
: days if data available
KEVNM
: source stationKSTNM
: receiver stationUSER0
: # of days stacked
- The temperal normalization method of 'earthquake cutting' has NOT been well tested. Use with caution!
- The spectrum reshape function is currently removed from the code. (
Smooth2()
inWhiten.c
does nothing)
Bensen, G. D., Ritzwoller, M. H., Barmin, M. P., Levshin, A. L., Lin, F., Moschetti, M. P., et al. (2007). Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements. Geophysical Journal International, 169(3), 1239–1260.
Lin, F.-C., Ritzwoller, M. H., & Shen, W. (2011). On the reliability of attenuation measurements from ambient noise cross-correlations. Geophysical Research Letters, 38(11).